Extreme problems are very large-scale multi-disciplinary problems, involving thousands or millions of variables and which cannot be solved using conventional technology. In such situations, it is impossible to determine the cause of the problem not only because of its sheer size but, most importantly, because it is frequently perceived through conventional eyes and distorted by narrow and linear thinking. It is not a matter of Big Data, huge compute power or sophisticated math modeling - some things just cannot be modeled. Certain problems cannot be solved with traditional mathematics. A model-free approach is mandatory.

The design of highly complex systems must take complexity into account from day one.

Extreme Problems may be solved by attacking them at their roots - their massive complexity

The solution of Extreme Problems requires the close collaboration of three parties: Ontonix, the client a supercomputer center. The approach we follow is this:

The client and Ontonix analyze the problem together

The consequences and losses incurred by the client are quantified

As much data about the problem is gathered as possible

Ontonix employs its best efforts to solve the problem

In case of loss reduction/elimination, a percentage of the client´s gains are paid to Ontonix

But why do Extreme Problems originate in the first place? Basically because of:

Bad design

Evolutionary and incremental approach to new challenges

Automation of old ways of thinking instead of innovation

Neglecting complexity during design

Extreme Problems often lead to extreme consequences. This is because in highly complex systems:

Malfunction may not be detectable for long periods

Things often operate close to failure mode

The crucial variables are discovered by accident

The likelihood of failure increases with complexity

In partnership with scs cineca ontonix has access to world-class compuational resources.

Solving Extreme Problems requires new approaches in terms of:

Problem statement

Solution strategy: data-centric not model-centric

Large-scope, large-scale systemic approach

World-class computational resources

Our global and inter-dependent economy is punctuated by shocks and destabilizing events which will increase in frequency and intensity. This means that we will face more extreme problems and that they will also be more severe.

Examples:

Analysis of back-office processes in systemic a bank: identification of hidden sources of inefficiency.

Analysis of large ecosystem of corporate clients of a systemic bank: measure of systemic bank exposure and resilience.